Best AI papers explained

153 Episodes

1. AI: Rewiring the Flow of Ideas and Human Knowledge

   Published: 4/27/2025
2. Learning and Equilibrium with Ranking Feedback

   Published: 4/27/2025
3. Designing Human-AI Collaboration: A Sufficient-Statistic Approach

   Published: 4/27/2025
4. GOAT: Generative Adversarial Training for Human-AI Coordination

   Published: 4/27/2025
5. π0.5: Generalization in Robotic Manipulation via Diverse Data

   Published: 4/27/2025
6. NoWag: Unified Compression for Large Language Models

   Published: 4/26/2025
7. Optimal Tool Calls in Language Model Reasoning

   Published: 4/26/2025
8. Data Selection for Empirical Risk Minimization

   Published: 4/26/2025
9. LoRe: Low-Rank Reward Modeling for Personalized LLMs

   Published: 4/26/2025
10. ParaPO: Reducing Language Model Verbatim Reproduction

    Published: 4/26/2025
11. Test-Time RL: Self-Evolving LLMs via Majority Voting Rewards

    Published: 4/25/2025
12. Tina: Tiny LoRA Reasoning Models

    Published: 4/25/2025
13. Evaluating large language models in theory of mind tasks

    Published: 4/25/2025
14. QUEST: Quality Sampling for Machine Translation

    Published: 4/24/2025
15. Offline Preference Learning via Simulated Trajectory Feedback

    Published: 4/24/2025
16. Reasoning Elicitation in Language Models via Counterfactual Feedback

    Published: 4/24/2025
17. Eliciting Human Preferences with Language Models

    Published: 4/24/2025
18. Sub-Optimal Data for Human-in-the-Loop Reinforcement Learning

    Published: 4/24/2025
19. γ-Bench: Evaluating LLMs in Multi-Agent Games

    Published: 4/24/2025
20. DRAFT: Self-Driven LLM Tool Mastery via Documentation Refinement

    Published: 4/24/2025